合成数据生成论文趋势 2023–2026
数据增广
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 277 篇被归入该主题的论文。
主要结论
- 合成数据生成论文从 2023 年的 72 篇增长到 2026 年的 96 篇，三年间扩大到约 1.3 倍。
- NeurIPS 是发合成数据生成论文最多的会议，2023–2026 年共 114 篇，占四个会议总量的 41%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 20 篇。
- 在「以数据为中心 AI」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的弱监督是 1.3 倍，合成数据生成是 1.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 45 | 5 | 13 | 9 | 72 |
| 2024 | 18 | 6 | 9 | 8 | 41 |
| 2025 | 27 | 18 | 9 | 14 | 68 |
| 2026 | 24 | 26 | 21 | 25 | 96 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning
- ICML 2026Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
- ICLR 2026Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs
- CVPR 2026Beyond Objects Contextual Synthetic Data Generation for Fine-Grained Classification
- NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
- ICML 2025Synthetic Text Generation for Training Large Language Models via Gradient Matching
- ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
- CVPR 2025Synthetic Visual Genome
- NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
- ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
- ICLR 2024A Linear Algebraic Framework for Counterfactual Generation
- CVPR 2024Learning from Synthetic Human Group Activities
- NeurIPS 2023[Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification
- ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
- ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
- CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
- NeurIPS 2026Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
- ICML 2026Counterfactual Residual Data Augmentation for Regression
- ICLR 2026Making, Not Taking, the Best of N
- CVPR 2026Order Matters 3D Shape Generation from Sequential VR Sketches
全部合成数据生成论文
共 277 篇，第 5 / 6 页
- NeurIPS 2024SimGen: Simulator-conditioned Driving Scene Generation
- NeurIPS 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
- NeurIPS 2024Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
- NeurIPS 2024TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
- NeurIPS 2024TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
- CVPR 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
- CVPR 2023DCFace: Synthetic Face Generation With Dual Condition Diffusion Model
- CVPR 2023Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation
- CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
- CVPR 2023Fast Contextual Scene Graph Generation With Unbiased Context Augmentation
- CVPR 2023HandsOff: Labeled Dataset Generation With No Additional Human Annotations
- CVPR 2023MIME: Human-Aware 3D Scene Generation
- CVPR 2023PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing
- CVPR 2023Swept-Angle Synthetic Wavelength Interferometry
- ICLR 2023DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline
- ICLR 2023ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation
- ICLR 2023IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
- ICLR 2023Learning with Stochastic Orders
- ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
- ICML 2023Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
- ICML 2023Beam Tree Recursive Cells
- ICML 2023Conformal Prediction with Missing Values
- ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
- ICML 2023Generating Private Synthetic Data with Genetic Algorithms
- ICML 2023Gradient-Free Structured Pruning with Unlabeled Data
- ICML 2023Improving Graph Generation by Restricting Graph Bandwidth
- ICML 2023OpenFE: Automated Feature Generation with Expert-level Performance
- ICML 2023Scalable Adaptive Computation for Iterative Generation
- ICML 2023Synthetic data for model selection
- ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
- ICML 2023The Value of Out-of-Distribution Data
- ICML 2023Training Normalizing Flows from Dependent Data
- NeurIPS 2023[Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification
- NeurIPS 20234D Panoptic Scene Graph Generation
- NeurIPS 2023Adaptive Principal Component Regression with Applications to Panel Data
- NeurIPS 2023Back-Modality: Leveraging Modal Transformation for Data Augmentation
- NeurIPS 2023Benchmarking Distribution Shift in Tabular Data with TableShift
- NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
- NeurIPS 2023CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
- NeurIPS 2023Data Minimization at Inference Time
- NeurIPS 2023Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation
- NeurIPS 2023DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
- NeurIPS 2023Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
- NeurIPS 2023Diverse Community Data for Benchmarking Data Privacy Algorithms
- NeurIPS 2023Does Graph Distillation See Like Vision Dataset Counterpart?
- NeurIPS 2023DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
- NeurIPS 2023Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion
- NeurIPS 2023Expanding Small-Scale Datasets with Guided Imagination
- NeurIPS 2023ExPT: Synthetic Pretraining for Few-Shot Experimental Design
- NeurIPS 2023Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查合成数据生成在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "synthetic-data-generation"}
常见问题
- 2023–2026 年四大会议一共有多少篇合成数据生成论文？
- 共 277 篇，按年份分别是 2023 年 72 篇、2024 年 41 篇、2025 年 68 篇、2026 年 96 篇。
- NeurIPS 2026 有多少篇合成数据生成论文？
- NeurIPS 2026 有 24 篇合成数据生成论文，上一届是 27 篇。
- ICLR 2026 有多少篇合成数据生成论文？
- ICLR 2026 有 26 篇合成数据生成论文，上一届是 18 篇。
- ICML 2026 有多少篇合成数据生成论文？
- ICML 2026 有 21 篇合成数据生成论文，上一届是 9 篇。
- CVPR 2026 有多少篇合成数据生成论文？
- CVPR 2026 有 25 篇合成数据生成论文，上一届是 14 篇。
- 哪个会议的合成数据生成论文最多？
- NeurIPS，2023–2026 年共 114 篇。